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Frazelle is the latest to join the Machine Learning for Source Code Analysis start-up’s impressive list of advisors

SAN FRANCISCO, Oct. 24, 2018 (GLOBE NEWSWIRE) — Today source{d}, the company enabling Machine Learning for large scale code analysis, announced that Jessie Frazelle, a Microsoft Open Source engineer, has joined source{d} as an advisor, joining Chris Aniszczyk, vice president at the Linux Foundation, Joseph Jacks, founder at OSS Capital, Julien Barbier, CEO at Holberton School and Patrick Chanezon, member of Technical Staff at Docker.

“source{d} is not only a great open source citizen with projects like source{d} Engine and their collection of research papers on Machine Learning for code, they also have the expertise and user experience skills to make something that will be truly revolutionary to the way developers interact with code,” said Frazelle.

Frazelle, the self-proclaimed superhero with supervillain tendencies and Keyser Söze of containers, was previously a software engineer at Google and Docker. She is known for her work to make containers more secure. At Docker she worked on the Core Team fixing bugs, reviewing code, and adding features.

“We are incredibly lucky to have Jessie join source{d} as an advisor,” said Eiso Kant, CEO, source{d}. “Jessie is one of the best open source and engineering leaders I know, the whole team looks forward to collaborating with her to make sure developers and IT executives love our products even more.”

Aniszczyk (who joined as advisor last month), Barbier, Chanezon, Frazelle and Jacks all have something in common, they have all made very significant contributions to the OCI, CNCF, container and Kubernetes communities. Their respective expertise will help source{d} shape its product roadmap, encourage collaboration between the different actors of the Machine Learning on Code community while helping source{d} refine its open core business strategy.

About source{d}source{d}, the only open core company to turn code into actionable data and business intelligence, is building the tech stack that enables large-scale code analysis and machine learning on code. Used by top engineers at world leading companies, source{d} develops projects transparently, collaborating with the broader community of Machine Learning on Code researchers. Headquartered in Madrid, with US offices in San Francisco, source{d} has raised $10 million from Otium, Sunstone Capital and others. To learn more, visit sourced.tech.